Grants and Contributions:

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Title:
AI FOR SIMULATION OF BIOLOGICAL SYSTEMS - METABOLIC MODELLING OF QUANTITATIVE LIPIDOMICS DATA TO INFER ENZYMATIC DISRUPTIONS IN THE LIPIDOME
Agreement Number:
948085
Agreement Value:
$75,900.00
Agreement Date:
Apr 15, 2020 - Mar 31, 2022
Description:
AI systems that can describe and predict behavior of biological networks of cells, tissues and organisms will allow more accurate, faster and less expensive innovations in life sciences while at the same time ensuring predictable outcomes. In particular, the full potential for safe and efficient utilization of gene editing and live cell therapies requires an ability for controlled design of these modalities with simulations that allow testing and optimization under different conditions in both production and utilization. This project will combine machine learning and mechanistic modeling for the development of simulation of biological systems and link these simulations with learning algorithms for testing and optimizing different designs. The focus of this 2 year project, will be on the development of methods for the simulation and design of desired characteristics of exosomes, as carriers of gene therapies, and development of methodologies for building simulations for HEK293, as major cells for bioreactor production and iPSC cells as major cells in stem and cell therapy development. This project will focus on the metabolic modelling of quantitative lipidomics data to infer enzymatic disruptions in the lipidome, specifically those lipids metabolized and released as exosomes from IPSC-derived neurons from PD patients and SMA-PME patients.
Organization:
National Research Council Canada
Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2020-2021-Q1-948085
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Recipient Type:
Academia
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa–Vanier
Federal Riding Number:
35078
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:
541710 - R&D in the physical, engineering and life sciences